SQL that will get you hired – SQL for Data Science, Data Engineering, Business Analysis, Marketing, and Data Management
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The curriculum provides depth in complex SQL features such as Window Functions, Common Table-Expressions (CTEs), and Stored Routines.
Instruction includes a multi-task sequence for combining SQL workflows with Tableau to generate visualized reports.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
An instructor presents a statistic highlighting that SQL was the most desired programming skill in 2017, providing market context for data analytics.
The instructor highlights enrollment perks including a shareable completion certificate for LinkedIn and complimentary lifetime access to two additional courses.
An instructor presents the course's financial policy, highlighting a 30-day money-back guarantee for students who are not satisfied with their purchase.
Exercises frequently lack explicit mentions of specific table names, column details, or primary/foreign key relationships.
The progression can become difficult to follow as complexity increases, with some learners finding later sections rushed or overly technical.
The curriculum aligns well with the goal of taking beginners to a functional level in SQL and data analytics.